Privacy and Security in AI-Driven Mental Health Apps
暫譯: AI 驅動的心理健康應用程式中的隱私與安全
Kumari, Shabnam, Tyagi, Amit Kumar
相關主題
商品描述
Today Privacy and Security in AI-Driven Mental Health Apps has expanding landscape of mental health technology. For that, we need to concentrate on the essential topics of privacy and security in AI-powered mental health apps. As the use of AI-driven solutions in mental health treatment advances, questions about the ethical management of sensitive data, user privacy, and system vulnerabilities have surfaced as serious challenges. This book gives a complete investigation of these difficulties, addressing how privacy-preserving approaches and secure systems might maintain trust, openness, and ethical integrity in mental health applications. The book is organized to cover a broad variety of subjects. It starts with an introduction to mental health applications and their integration with AI technology, followed by a full discussion on the sorts of data acquired, including sensitive behavioral, physiological, and psychological data. It then analyzes privacy threats, such as data breaches and abuse of personal information, and security problems including cyberattacks and flaws in AI systems. This book has some chapters which cover advanced solutions, including encryption approaches, differential privacy, blockchain integration, and federated learning, as well as the importance of regulatory frameworks like GDPR and HIPAA (including case studies of real-world applications to exhibit both achievements and failures in privacy and security). The last parts cover future directions, ethical issues, and suggestions for developers, physicians, and politicians. With contributions from specialists across disciplines, this book serves as important collection for understanding the convergence of AI, mental health, and data security, seeking to stimulate innovation while respecting user rights.
商品描述(中文翻譯)
今天，人工智慧驅動的心理健康應用程式中的隱私與安全擴展了心理健康科技的範疇。為此，我們需要專注於人工智慧驅動的心理健康應用程式中的隱私與安全這些基本主題。隨著人工智慧解決方案在心理健康治療中的應用不斷進步，關於敏感數據的倫理管理、用戶隱私和系統脆弱性等問題已成為嚴重挑戰。本書對這些困難進行了全面的探討，討論了如何通過隱私保護方法和安全系統來維持心理健康應用程式中的信任、透明度和倫理完整性。本書的組織涵蓋了廣泛的主題。它首先介紹了心理健康應用程式及其與人工智慧技術的整合，接著全面討論了所收集的數據類型，包括敏感的行為、生理和心理數據。然後分析了隱私威脅，例如數據洩露和個人信息的濫用，以及安全問題，包括網絡攻擊和人工智慧系統中的缺陷。本書有幾個章節涵蓋了先進的解決方案，包括加密方法、差分隱私、區塊鏈整合和聯邦學習，以及像GDPR和HIPAA這樣的監管框架的重要性（包括真實應用案例的研究，以展示隱私和安全方面的成就與失敗）。最後幾個部分涵蓋了未來的方向、倫理問題以及對開發者、醫生和政治家的建議。這本書匯集了各領域專家的貢獻，作為理解人工智慧、心理健康和數據安全交匯的重要資料，旨在促進創新，同時尊重用戶權利。
作者簡介
Shabnam Kumari is working as Ph.D. Research Scholar in Department of Computer Science, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 6 years of experience including teaching, research and other areas. She has completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the area of IoTs, Machine Learning, Deep Learning and Wireless Network. She has published twenty plus research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.
Amit Kumar Tyagi is working as an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (for the periods of July 2009- July 2010, and October 2012- October 2013), Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (September 2018- May 2019), VIT Chennai (June 2019- November 2022) and NIFT New Delhi (November 2022- September 2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as "AARIN" and "P3- Block" to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has done more than 60 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Also, He has published over 350 research articles in refereed high impact journals, conferences and books, and some of his articles has been awarded as best paper awards. Also, he has filed more than 15 patents (Nationally and Internationally) in the area of Deep Learning, Internet of Things, Cyber Physical Systems and Computer Vision. He is a Winner of Faculty Research Award for the Year of 2020, 2021 and 2022 (consecutive three years) given by Vellore Institute of Technology, Chennai, Tamilnadu, India. His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a senior member of IEEE.
作者簡介(中文翻譯)
**Shabnam Kumari** 目前在印度泰米爾納德邦金奈的SRM科學與技術學院計算機科學系擔任博士研究學者。她擁有超過6年的經驗，包括教學、研究及其他領域。她在法里達巴德的YMCA科學與技術大學完成了碩士學位（MCA）。她在物聯網（IoTs）、機器學習（Machine Learning）、深度學習（Deep Learning）和無線網絡領域申請了五項以上的國內和國際專利。她在國際會議和期刊上發表了超過二十篇研究文章。她的研究興趣包括機器學習、深度學習及相關領域。她是ACM-Women和SCRS的終身會員。
**Amit Kumar Tyagi** 目前在印度古吉拉特邦甘地納格的國立法醫科學大學擔任助理教授。他於2018年在印度普德查里中央大學獲得全日制博士學位（Ph.D.）。在學術經驗方面，他曾在多所學院擔任助理教授，包括加茲亞巴德的克里希納工程學院（LKCE）（2009年7月至2010年7月及2012年10月至2013年10月）、法里達巴德的林蓋亞大學（Lingaya's Vidyapeeth，前稱林蓋亞大學）（2018年9月至2019年5月）、金奈的VIT（2019年6月至2022年11月）及新德里的NIFT（2022年11月至2025年9月）。他的指導經驗包括超過10篇碩士論文和一篇博士論文。他參與了多個項目，如「AARIN」和「P3- Block」，以解決與車輛應用（如停車）和醫療網絡物理系統（MCPS）相關的隱私問題。他編輯和撰寫了超過60本書籍，並與來自全球頂尖QS排名大學的著名教授合作。此外，他在經過審核的高影響力期刊、會議和書籍上發表了超過350篇研究文章，其中一些文章獲得最佳論文獎。他在深度學習、物聯網、網絡物理系統和計算機視覺領域申請了15項以上的專利（國內和國際）。他是2020年、2021年和2022年（連續三年）由金奈的維洛爾科技學院頒發的教職員研究獎得主。他目前的研究重點是下一代基於機器的通信、區塊鏈技術、智能和安全計算及隱私。他是IEEE的高級會員。
